R and geodata, part 3
Andreja Radović, PhD
25th of January 2018
Need for geo analyses?
Examples from my research
![Site selection]()
Example: Site selection
![Agrale site selection]()
Agrale: site selection
- Most recent orto-photo images
- Image classification and interpretation
- vegetation plots – predefined abandonment class
- 26 habitat classes
- habitats of interest (BLFO | CGR | HGR | PA | SHR | WL | OFO | HD) == proxy for woody structure at plot!
- 4 abandonment classes * 8 habitat classes * 5 replicates * 4 countries* - random selection from defined strata *height layers
Agrale after site selection
![agrale]()
Agrale after site selection
![agrale 2]()
Agrale - birds
- Systematic sampling on Passerine bird communities
- Standard point-count method
- circular sampling plots 100m radius
![agrale 3]()
Agrale - birds/landscape
![agrale 5]()
Example: Selection of research sites NIP/WB
![NIP]()
Example: Selection of research sites NIP/WB
![NIP2]()
Example: Selection of research sites NIP/WB
![NIP3]()
Example: data collection, geocoding
White stork habitat suitability
- Combination of regression techniques and geostatistics
- Detect suitable yet still not occuoied areas (to be important in predicted climat changes)
- Predict extected nest densities at 1km scale
![Geocoding]()
Example: data collection
Black sork, Slovenia
- Remote sensing (satelite tracking)
- Animal movement
- Habitat usage
- Lidar point cloud analysis
![Black stork, satelite]()
Satelite tracking of animals
![Black stork, satelite]()
After: analyses according research question
![]()
After: analyses according research question
![]()
After:
![]()
After:
![]()
Example: Species distribution modelling - RK
![Ecological modelling]()
Example: Habitat change detection
![CLC change]()
Example: Habitat change detection
![CLC change]()
Example: Habitat change detection
![CLC change]()
Example: forestry practice
![Influence of forestry practices]()
Example: forestry practice
Data used
![Influence of forestry practices 4]()
Example: forestry practice
Aquila pomarina
![Influence of forestry practices 3]()
Example: forestry practice
Haliaeetus albicilla
![Influence of forestry practices 4]()
Example: forestry practice
![Influence of forestry practices 5]()
Example: Climate/habitat characteristics
- Climate variable
- Habitat classification
- Gower algorithm (klastering – data mining)
![Climate habitat]()
Example: Climate/habitat characteristics
![Climate habitat 2]()
Example Presence of suitable feeding habitats
![Platalea leucorodia]()
Example Presence of suitable feeding habitats
![Platalea leucorodia 2]()
Automatisation of spatial modelling
![Automatisation of modelling procedure]()
Automatisation of spatial modelling
![Automatisation of modelling procedure]()
Automatisation of spatial modelling
![Automatisation of modelling procedure]()
Usage of biased sampling data
![Data bases 2]()
Usage of biased sampling data
![Data bases 3]()
Usage of biased sampling data
![Data bases 4]()
More data mining
- morphological characteristics of plants due to climate differences
![Morphology climate]()
More data mining
![Morphology climate 2]()
More data mining
![Morphology climate 3]()
Finally
![Valentino Perović diplomski FER]()
What is geo data?
![]()
What is geo data?
![]()
Geo data - topology
![]()
Altogether - data
Various sources:
Thank you for your attention!